Building autonomous supremacy systems in Berlin
Promethion Industries is a European defence technology company building autonomous supremacy systems for aerial and multi-domain operations. We design tightly integrated autonomy stacks in Europe to enable decisive autonomy for NATO-aligned forces, focusing on defensive and counter-system capabilities including anti-UAS and resilient autonomy under contested conditions.
We are looking for a Senior Robotics Autonomy Engineer to build the intelligence that turns mission objectives, target information and vehicle state into executable autonomous behaviour.
Your mission with us
- Build the autonomy layer of our high-speed aerial robotic systems.
- Convert mission objectives, target state and vehicle state into real-time actions and trajectories.
- Develop algorithms for dynamic rendezvous, pursuit, interception and terminal approach.
- Build target-motion prediction and intercept-point estimation for moving airborne targets.
- Develop real-time path planning, trajectory generation and replanning under uncertainty.
- Account for aircraft capabilities, energy, maneuverability, sensing uncertainty and changing target behaviour.
- Build decision and behaviour logic that allows the system to adapt continuously during a mission.
- Combine classical robotics, optimization, MPC and learned approaches where appropriate.
- Explore reinforcement learning, imitation learning and policy-based autonomy where they provide meaningful advantages.
- Work closely with perception, estimation and control engineers to close the autonomy loop.
- Take algorithms from simulation into real aircraft and validate them through repeated flight testing.
Your contribution to the team (required)
- Strong robotics or autonomous-systems background with significant real-world deployment experience.
- Strong experience with motion planning, trajectory generation or autonomous decision-making.
- Deep understanding of kinematics, dynamics and optimization.
- Experience with dynamic environments and moving-target problems.
- Experience with trajectory optimization, optimal control, MPC or comparable approaches.
- Strong C++ skills and good Python skills.
- Experience deploying autonomy algorithms onto real robotic systems.
- Strong understanding of uncertainty and its implications for decision-making and planning.
- Ability to design algorithms that operate under real-time compute constraints.
- Hands-on attitude and willingness to participate directly in flight testing and system debugging.
Big plus
- UAV / fixed-wing autonomy.
- High-speed aerial robotics.
- Rendezvous, pursuit or intercept problems.
- Target-motion prediction.
- Aggressive flight.
- Reinforcement learning on real robots.
- Imitation learning / learned policies.
- PX4.
- ROS2.
- Optimal control and trajectory optimization.
- Aviation, defence or space systems.
Even if you don’t tick every box, we encourage you to apply - we’d love to hear from you.
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